Modeling and Implementing Record Linkage in Health Information Systems
Identifieur interne : 003290 ( Main/Exploration ); précédent : 003289; suivant : 003291Modeling and Implementing Record Linkage in Health Information Systems
Auteurs : Philip Achimugu [France] ; Babajide Afolabi [Nigeria] ; Abimbola Soriyan [Nigeria]Source :
Descripteurs français
- mix :
- Wicri :
- topic : Système d'information.
English descriptors
- mix :
Abstract
Background: The process of identifying record pairs that represent the same entity (duplicate records) is technically known as record linkage and is one of the essential elements of data cleansing. This paper proposes a fast and efficient method for linkage detection within the healthcare domain. The features of the proposed approach are an embedded fast blocking method with a string matching function that accounts for keystroke mistakes made during data entry of a patient's name and the addition of a module that dynamically generates blocks of possible associated and unique records.
Url:
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 003284
- to stream Hal, to step Curation: 003284
- to stream Hal, to step Checkpoint: 002914
- to stream Main, to step Merge: 003370
- to stream Main, to step Curation: 003290
Le document en format XML
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<front><div type="abstract" xml:lang="en">Background: The process of identifying record pairs that represent the same entity (duplicate records) is technically known as record linkage and is one of the essential elements of data cleansing. This paper proposes a fast and efficient method for linkage detection within the healthcare domain. The features of the proposed approach are an embedded fast blocking method with a string matching function that accounts for keystroke mistakes made during data entry of a patient's name and the addition of a module that dynamically generates blocks of possible associated and unique records.</div>
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